Villette Claire, Maurer Loïc, Heintz Dimitri
Plant Imaging and Mass Spectrometry (PIMS), Institut de biologie moléculaire des plantes, CNRS, Université de Strasbourg.
Plant Imaging and Mass Spectrometry (PIMS), Institut de biologie moléculaire des plantes, CNRS, Université de Strasbourg; Département mécanique, ICube Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie, UNISTRA/CNRS/ENGEES/INSA.
J Vis Exp. 2020 Jun 15(160). doi: 10.3791/61011.
The method presented uses mass spectrometry imaging (MSI) to establish the metabolic profile of S. alba leaves when exposed to xenobiotics. Using a non-targeted approach, plant metabolites and xenobiotics of interest are identified and localized in plant tissues to uncover specific distribution patterns. Then, in silico prediction of potential metabolites (i.e., catabolites and conjugates) from the identified xenobiotics is performed. When a xenobiotic metabolite is located in the tissue, the type of enzyme involved in its alteration by the plant is recorded. These results were used to describe different types of biological reactions occurring in S. alba leaves in response to xenobiotic accumulation in the leaves. The metabolites were predicted in two generations, allowing the documentation of successive biological reactions to transform xenobiotics in the leaf tissues.
所提出的方法使用质谱成像（MSI）来建立白柳树（Salix alba）叶片在接触外源化合物时的代谢谱。采用非靶向方法，鉴定出感兴趣的植物代谢物和外源化合物，并将其定位在植物组织中，以揭示特定的分布模式。然后，对已鉴定的外源化合物进行潜在代谢物（即分解代谢物和共轭物）的计算机预测。当在组织中定位到一种外源化合物代谢物时，记录植物中参与其转化的酶的类型。这些结果用于描述白柳树叶片中因叶片中外源化合物积累而发生的不同类型的生物反应。对代谢物进行了两代预测，从而记录了叶片组织中转化外源化合物的连续生物反应。
